{"id":"W2008516411","doi":"10.1136/bmj.39482.526713.be","title":"Prediction of citation counts for clinical articles at two years using data available within three weeks of publication: retrospective cohort study","year":2008,"lang":"en","type":"article","venue":"BMJ","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Retrospective cohort study; Citation; Medicine; Cohort; Statistics; Medical physics; Information retrieval; Computer science; Library science; Internal medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0152333,0.0007150035,0.0009044856,0.004562316,0.0007591745,0.00156093,0.00125194,0.001515303,0.001910788],"category_scores_gemma":[0.09315605,0.0007292034,0.001777539,0.003935172,0.0006667811,0.002178151,0.00100821,0.001135783,0.0009731227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007258744,"about_ca_system_score_gemma":0.001091061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002451762,"about_ca_topic_score_gemma":0.001770837,"domain_scores_codex":[0.9927574,0.001605746,0.001465946,0.001666547,0.002074299,0.0004300041],"domain_scores_gemma":[0.8937795,0.03497392,0.04309506,0.01381671,0.01155125,0.002783495],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001117483,0.00006841253,0.9963426,0.00003178146,0.0001950967,0.000100242,0.0001310529,0.0000729407,0.000139695,0.00003065416,0.0001925716,0.001577604],"study_design_scores_gemma":[0.0001407901,0.000930745,0.9956968,0.00005125739,0.0002757015,0.0007346814,0.0001901155,0.0009219347,0.0002823093,0.0001327121,0.000607745,0.00003524173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967596,0.0005595984,0.0007612599,0.00006275389,0.00003299775,0.0001193044,0.001426194,0.000013572,0.0002647112],"genre_scores_gemma":[0.9965339,0.0002157034,0.0005839618,0.00004452237,0.00005439763,0.0001961759,0.002042308,0.00001451267,0.0003145435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9954377,"threshold_uncertainty_score":0.08056229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9025957424564648,"score_gpt":0.5852338483111246,"score_spread":0.3173618941453402,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}